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mage-ai 0.9.70

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Mage is a tool for building and deploying data pipelines.

Mage is a tool for building and deploying data pipelines.

Stars: 7154, Watchers: 7154, Forks: 649, Open Issues: 293

The mage-ai/mage-ai repo was created 2 years ago and the last code push was 7 hours ago.
The project is extremely popular with a mindblowing 7154 github stars!

How to Install mage-ai

You can install mage-ai using pip

pip install mage-ai

or add it to a project with poetry

poetry add mage-ai

Package Details

Author
Mage
License
None
Homepage
https://github.com/mage-ai/mage-ai
PyPi:
https://pypi.org/project/mage-ai/
GitHub Repo:
https://github.com/mage-ai/mage-ai

Classifiers

No  mage-ai  pypi packages just yet.

Errors

A list of common mage-ai errors.

Code Examples

Here are some mage-ai code examples and snippets.

GitHub Issues

The mage-ai package has 293 open issues on GitHub

  • open telemetry integration
  • Add option to use temporary table for the intermediate block outputs for SQL block
  • Couchbase: Add Certificate Authentication
  • Couchbase Certificate Authentication
  • Fix the format of timestamp column in Trino exporter
  • added elasticsearch destination to data integration
  • Allow passing spark dataframes across blocks using the same spark session without persisting data to disk
  • 2776 Monaco Editor Fix - CDN Change
  • Monaco Editor Failure due to CDN Outage
  • [xh]Add OracleDB Destination
  • Salesforce destination
  • [dy] Workspace management p3
  • Issue on docs
  • Redshift destination fails when connecting to Redshift Serverless (permission denied for relation stl_insert)
  • Renaming block breaks for the block shared in multiple pipelines

See more issues on GitHub

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